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Applied Statistics With Python

Master hands-on statistical concepts with real-time implementation.

Course Overview

Are you Learning statistics but it doesn’t help, as learning is nothing apart from collecting information without applying hands-on techniques with real-time data sets?

Building assumptions is one of the important key roles in Data Science. To validate your assumption, applied statistics will help you to master the concepts. 

We are going to focus on the real-time application of different statistical concepts which helps us to drive in a different manner, and most importantly, you are going to master how to build assumptions, which is an important aspect for applied statistics to validate them.

Instead of only theoretical learning, you will learn hands-on concepts with a real-time project at the end of the section. In every topic you learn, you will implement at the same time with different data sets which we call “First Experience, Then Learn”.

What You Will Learn

Inside the Course

7 Lessons | 26 Topics | 7 Quizzes

Course Content

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